1 code implementation • 23 Jan 2024 • Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang
Given a user-specified group fairness measure, Falcon identifies samples from "target groups" (e. g., (attribute=female, label=positive)) that are the most informative for improving fairness.
no code implementations • 17 Jan 2024 • Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures.
1 code implementation • 20 Aug 2023 • Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong
Data preprocessing is a crucial step in the machine learning process that transforms raw data into a more usable format for downstream ML models.
no code implementations • 2 Aug 2023 • Renzhi Wu, Jingfan Meng, Jie Jeff Xu, Huayi Wang, Kexin Rong
In this vision paper, we propose a shift in perspective for improving the effectiveness of similarity search.
no code implementations • 20 Jun 2023 • Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov
With the increase in the scale of Deep Learning (DL) training workloads in terms of compute resources and time consumption, the likelihood of encountering in-training failures rises substantially, leading to lost work and resource wastage.
1 code implementation • 7 May 2019 • Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
Domain adaptation provides a powerful set of model training techniques given domain-specific training data and supplemental data with unknown relevance.